# conda activate mirnet
# CUDA_VISIBLE_DEVICES=0 python test_enhancement.py --result_dir "results/fog/" --config "all_light.yml" --weights "ckpt/fog/model_epoch_10.pth" --test_name fog --save_images 
# CUDA_VISIBLE_DEVICES=1 python test_enhancement.py --result_dir "results/haze/" --config "all_light.yml" --weights "ckpt/haze/model_epoch_30.pth" --test_name haze --save_images 
# CUDA_VISIBLE_DEVICES=3 python test_enhancement.py --result_dir "results/raindrop/" --config "all_light.yml" --weights "ckpt/raindrop/model_epoch_10.pth" --test_name raindrop --save_images 


# CUDA_VISIBLE_DEVICES=2 python test_enhancement.py --result_dir "results/snow11k/" --config "all_light.yml" --weights "ckpt/snow11k/model_epoch_10.pth" --test_name snow11k --save_images

# CUDA_VISIBLE_DEVICES=2 python test_enhancement.py --result_dir "results/rain/" --config "all_light.yml" --weights "ckpt/rain/model_epoch_10.pth" --test_name rain --save_images 
# CUDA_VISIBLE_DEVICES=2 python test_enhancement.py --result_dir "results/rain/" --config "all_light.yml" --weights "ckpt/rain/model_epoch_10.pth" --test_name rain --save_images

# CUDA_VISIBLE_DEVICES=0 python test_enhancement.py --result_dir "results/raindrop/" --config "all_light.yml" --weights "ckpt/raindrop/model_epoch_20.pth" --test_name raindrop --save_images 


# CUDA_VISIBLE_DEVICES=4 python test_enhancement.py --result_dir "results/fog/60epoch/" --config "all_light.yml" --weights "ckpt/fog/model_epoch_60.pth" --test_name fog --save_images 

#rain和snow11k上 有size的问题
#最后用patch-based diffusion去计算
# 